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r Data Science Course
Master the essentials of R for Business Intelligence with our R Data Science Course. Get stuck in to R programming basics, explore data manipulation with dplyr, and sharpen your analytical skills with data visualisation using ggplot2. Uncover insights through effective data storytelling, and apply advanced techniques in marketing and sales analytics. Learn to spot trends with time series analysis and put together compelling reports. Elevate your BI expertise with practical, high-quality, and concise learning.
- Master R programming: Get to grips with R and RStudio for data analysis.
- Visualise data: Create insightful plots with ggplot2 to reveal trends.
- Analyse marketing data: Evaluate metrics and optimise marketing strategies.
- Conduct time series analysis: Identify trends and break down time series data.
- Communicate insights: Craft compelling reports and data-driven recommendations.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Master the essentials of R for Business Intelligence with our R Data Science Course. Get stuck in to R programming basics, explore data manipulation with dplyr, and sharpen your analytical skills with data visualisation using ggplot2. Uncover insights through effective data storytelling, and apply advanced techniques in marketing and sales analytics. Learn to spot trends with time series analysis and put together compelling reports. Elevate your BI expertise with practical, high-quality, and concise learning.
Elevify advantages
Develop skills
- Master R programming: Get to grips with R and RStudio for data analysis.
- Visualise data: Create insightful plots with ggplot2 to reveal trends.
- Analyse marketing data: Evaluate metrics and optimise marketing strategies.
- Conduct time series analysis: Identify trends and break down time series data.
- Communicate insights: Craft compelling reports and data-driven recommendations.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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